• DocumentCode
    3546584
  • Title

    Low complexity RDO mode decision based on a fast coding-bits estimation model for H.264/AVC

  • Author

    Wang, Qiang ; Zhao, Debin ; Gao, Wen ; Ma, Siwei

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., China
  • fYear
    2005
  • fDate
    23-26 May 2005
  • Firstpage
    3467
  • Abstract
    Rate distortion optimization (RDO) is a very efficient tool for deciding a macroblock´s coding mode, which has been adopted by the H.264/AVC codec and brings higher coding efficiency. However, due to the precise calculation of the current macroblock´s distortion and coding-bits for each coding mode, RDO-based mode decision involves high computational complexity. In this paper, a simple model for quickly estimating the coding-bits of the quantized transform coefficients, which account for the major part of the computation when coding a macroblock, is presented. The model only uses nonzero coefficients´ magnitude and coordinates information by add operations to fulfill estimation so that computational complexity can be significantly reduced. Experimental results show that with this model the computational complexity of RDO-based mode decision in the H.264/AVC codec can be reduced by 40-60% while coding efficiency has little drop.
  • Keywords
    computational complexity; video coding; H.264/AVC; coding efficiency; computational complexity reduction; fast coding-bits estimation model; low complexity RDO-based mode decision scheme; macroblock coding mode decision; macroblock-based multimode coding scheme; nonzero coefficient coordinates information; nonzero coefficient magnitude information; quantized transform coefficients; rate distortion optimization; Automatic voltage control; Bit rate; Codecs; Computational complexity; Computational modeling; Computer science; Cost function; Motion estimation; Rate-distortion; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-8834-8
  • Type

    conf

  • DOI
    10.1109/ISCAS.2005.1465375
  • Filename
    1465375